• Variable selection in multi-block regression 

      Biancolillo, Alessandra; Liland, Kristian Hovde; Måge, Ingrid; Næs, Tormod; Bro, Rasmus (Journal article; Peer reviewed, 2016)
      The focus of the present paper is to propose and discuss different procedures for performing variable selection in a multi-block regression context. In particular, the focus is on two multi-block regression methods: ...
    • Why use component-based methods in sensory science? 

      Næs, Tormod; Varela, Paula; Castura, John C.; Bro, Rasmus; Tomic, Oliver (Peer reviewed; Journal article, 2023)
      This paper discusses the advantages of using so-called component-based methods in sensory science. For instance, principal component analysis (PCA) and partial least squares (PLS) regression are used widely in the field; ...